Urban black-odor water body dynamic analysis with high-resolution remote sensing image

作者：Q Zhang, Baitong Wang, Shifeng Wang, Tiantian Guo · 发表于：IOP Conference Series Earth and Environmental Science · 年份：2019 · DOI：10.1088/1755-1315/344/1/012149 · 被引用次数：3 · 研究领域：Remote Sensing and Land Use、Land Use and Ecosystem Services、Environmental Changes in China

Abstract The black-odor water has significant negative impacts on the sustainable development of society and survival of mankind. The paper presents a new Urban Black-Odor Water (UBOW) model to identify the urban black-odor water body from high-resolution remote sensing image Gaofen-2(GF-2), to help monitor and control urban black-odor water bodies. The new UBOW model is derived from the analysis of the in-situ observation data and the spectral characteristics of GF-2. It takes advantage of the spectral difference at the blue band, the green band and the red band and has certain theoretical ground. The UBOW model can effectively identify the severe black-odor water and the mild black-odor water. The model is validated by the observation and the overall accuracy can be up to 81%. The UBOW model is used to analyze the dynamics of the urban black-odor water bodies of Beijing China, with monthly GF-2 images from March 2017 to October 2018. Results show that the urban black-odor water bodies, whether it is mild black-odor water bodies or severe black-odor water bodies, have been reduced significantly, which is consistent with the governmental report. This confirms that the Beijing government takes effective measurements to remedy the urban black-odor water bodies.